Nonlinear approximation is widely used in signal processing. Real-life signals can be modeled as functions of bounded variation. Thus the variable knot of approximating function could be self-adaptively chosen by balancing the total variation of the target function. In this paper, we adopt continuous piecewise linear approximation instead of the existing piecewise constants approxi-mation. The results of experiments show that this new method is superior to the old one
In recent years, the increased efficiency of mixed integer linear programming (MILP) software tools ...
This paper proposes a method to find multiresolution piecewise-linear (PWL) approximations of multiv...
AbstractThis paper introduces and analyzes new approximation procedures for bivariate functions. The...
This paper is concerned with a multiresolution approach to the piecewise-linear approximation of mul...
Methods are examined for finding an optimal least-squares approximation to a continuous function on ...
The class of continuous piecewise linear (PL) functions represents a useful family of approximants b...
The class of continuous piecewise linear (PL) functions represents a useful family of approximants b...
Abstract. BV functions cannot be approximated well by piecewise constant functions, but we will show...
To enable inference in continuous Bayesian networks containing nonlinear deterministic conditional d...
All rights reserved. An algorithm is described for approximating a function F(x) on a finite interva...
AbstractIn this paper we consider the problem of approximating a function by continuous piecewise li...
We review the surprisingly rich theory of approximation of functions of many vari- ables by piecewis...
In this paper we present a systematic approach to find piecewise-linear approximations of multivaria...
This work focuses on the approximation of bivariate functions into piecewise linear ones with a mini...
This paper presents a nonlinear differential equations system piecewise continuous approximation. Th...
In recent years, the increased efficiency of mixed integer linear programming (MILP) software tools ...
This paper proposes a method to find multiresolution piecewise-linear (PWL) approximations of multiv...
AbstractThis paper introduces and analyzes new approximation procedures for bivariate functions. The...
This paper is concerned with a multiresolution approach to the piecewise-linear approximation of mul...
Methods are examined for finding an optimal least-squares approximation to a continuous function on ...
The class of continuous piecewise linear (PL) functions represents a useful family of approximants b...
The class of continuous piecewise linear (PL) functions represents a useful family of approximants b...
Abstract. BV functions cannot be approximated well by piecewise constant functions, but we will show...
To enable inference in continuous Bayesian networks containing nonlinear deterministic conditional d...
All rights reserved. An algorithm is described for approximating a function F(x) on a finite interva...
AbstractIn this paper we consider the problem of approximating a function by continuous piecewise li...
We review the surprisingly rich theory of approximation of functions of many vari- ables by piecewis...
In this paper we present a systematic approach to find piecewise-linear approximations of multivaria...
This work focuses on the approximation of bivariate functions into piecewise linear ones with a mini...
This paper presents a nonlinear differential equations system piecewise continuous approximation. Th...
In recent years, the increased efficiency of mixed integer linear programming (MILP) software tools ...
This paper proposes a method to find multiresolution piecewise-linear (PWL) approximations of multiv...
AbstractThis paper introduces and analyzes new approximation procedures for bivariate functions. The...